作者
Baiyu Zhou, Weihong Xu, David Herndon, Ronald Tompkins, Ronald Davis, Wenzhong Xiao, Wing Hung Wong, Inflammation and Host Response to Injury Program, Mehmet Toner, H Shaw Warren, David A Schoenfeld, Laurence Rahme, Grace P McDonald-Smith, Douglas Hayden, Philip Mason, Shawn Fagan, Yong-Ming Yu, J Perren Cobb, Daniel G Remick, John A Mannick, James A Lederer, Richard L Gamelli, Geoffrey M Silver, Michael A West, Michael B Shapiro, Richard Smith, David G Camp, Weijun Qian, John Storey, Michael Mindrinos, Rob Tibshirani, Stephen Lowry, Steven Calvano, Irshad Chaudry, Michael A West, Mitchell Cohen, Ernest E Moore, Jeffrey Johnson, Lyle L Moldawer, Henry V Baker, Philip A Efron, Ulysses GJ Balis, Timothy R Billiar, Juan B Ochoa, Jason L Sperry, Carol L Miller-Graziano, Asit K De, Paul E Bankey, Celeste C Finnerty, Marc G Jeschke, Joseph P Minei, Brett D Arnoldo, John L Hunt, Jureta Horton, J Perren Cobb, Bernard Brownstein, Bradley Freeman, Ronald V Maier, Avery B Nathens, Joseph Cuschieri, Nicole Gibran, Matthew Klein, Grant O’Keefe
发表日期
2010/6/1
期刊
Proceedings of the National Academy of Sciences
卷号
107
期号
22
页码范围
9923-9928
出版商
National Academy of Sciences
简介
Time-course microarray experiments are capable of capturing dynamic gene expression profiles. It is important to study how these dynamic profiles depend on the multiple factors that characterize the experimental condition under which the time course is observed. Analytic methods are needed to simultaneously handle the time course and factorial structure in the data. We developed a method to evaluate factor effects by pooling information across the time course while accounting for multiple testing and nonnormality of the microarray data. The method effectively extracts gene-specific response features and models their dependency on the experimental factors. Both longitudinal and cross-sectional time-course data can be handled by our approach. The method was used to analyze the impact of age on the temporal gene response to burn injury in a large-scale clinical study. Our analysis reveals that 21% of the …
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B Zhou, W Xu, D Herndon, R Tompkins, R Davis… - Proceedings of the National Academy of Sciences, 2010